var stringToMatch = 'hello';
['banana', 'map', 'cloth', 'hello', 'person'].includes(stringToMatch)
stringToMatch === 'banana'
|| stringToMatch === 'map'
|| stringToMatch === 'cloth'
|| stringToMatch === 'hello'
|| stringToMatch === 'person'
--enable-precise-memory-info
flag.
Test case name | Result |
---|---|
Array.includes | |
Or chain |
Test name | Executions per second |
---|---|
Array.includes | 88139848.0 Ops/sec |
Or chain | 134642320.0 Ops/sec |
Let's dive into the explanation of what is tested in the provided JSON benchmark.
Benchmark Overview
The benchmark compares the performance of using Array.includes
versus manually writing a chain of logical ORs to check if a string matches a specific value within an array. The test aims to measure the overhead of using Array.includes
compared to traditional OR chaining.
Options Compared
There are two options being tested:
Pros and Cons
Array.includes:
Pros:
Cons:
Or chain (manual approach):
Pros:
Array.includes
because it avoids the overhead of an additional function call and potentially traversing an arrayCons:
Array.includes
Library Used
In this benchmark, the stringToMatch
variable is initialized with a string value 'hello'
. No specific library is used in this test case.
Special JS Feature or Syntax
There are no special JavaScript features or syntax used in this benchmark.
Other Alternatives
If you were to implement your own OR chain manually, you could use loops, recursive functions, or even bitwise operations (though that would be a stretch!). Some alternatives to using Array.includes
include:
indexOf()
method, which returns the index of the first occurrence of the specified element, and then checking if the index is -1forEach()
method to iterate over the array and check each element manuallyKeep in mind that these alternatives would likely be less efficient than using Array.includes
, which is optimized for performance by the JavaScript engine.
In conclusion, this benchmark provides a simple yet informative way to measure the overhead of using Array.includes
versus manual OR chaining. By understanding the pros and cons of each approach, developers can make informed decisions about how to optimize their code for performance.